CUDA中最多可以设置多少个blocks

[BinGo]

linux下执行SDK的结果是：

Device 0: "Tesla T10 Processor"
  CUDA Driver Version:                           4.0
  CUDA Runtime Version:                          4.0
  CUDA Capability Major/Minor version number:    1.3
  Total amount of global memory:                 4294770688 bytes
  (30) Multiprocessors x ( 8) CUDA Cores/MP:     240 CUDA Cores
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       16384 bytes
  Total number of registers available per block: 16384
  Warp size:                                     32
  Maximum number of threads per block:           512
  Maximum sizes of each dimension of a block:    512 x 512 x 64
  Maximum sizes of each dimension of a grid:     65535 x 65535 x 1
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             256 bytes
  Clock rate:                                    1.30 GHz
  Concurrent copy and execution:                 Yes
  # of Asynchronous Copy Engines:                1
  Run time limit on kernels:                     No
  Integrated:                                    No
  Support host page-locked memory mapping:       Yes
  Compute mode:                                  Default (multiple host threads                                                                           can use this device simultaneously)
  Concurrent kernel execution:                   No
  Device has ECC support enabled:                No
  Device is using TCC driver mode:               No

根据：
Maximum number of threads per block: 512
Maximum sizes of each dimension of a block: 512 x 512 x 64
Maximum sizes of each dimension of a grid: 65535 x 65535 x 1

每个块最多512个线程。

那么，每个网格最多可以有多少个块？

[BinGo]

The number of thread blocks in a
grid is usually dictated by the size of the data being processed or the number of
processors in the system, which it can greatly exceed.